PET radiomics-based lymphovascular invasion prediction in lung cancer using multiple segmentation and multi-machine learning algorithms [0.03%]
基于PET影像组学的肺癌淋巴管血管浸润预测的多种分割及多机器学习算法研究
Seyyed Ali Hosseini,Ghasem Hajianfar,Pardis Ghaffarian et al.
Seyyed Ali Hosseini et al.
The current study aimed to predict lymphovascular invasion (LVI) using multiple machine learning algorithms and multi-segmentation positron emission tomography (PET) radiomics in non-small cell lung cancer (NSCLC) patients, offering new ave...
Reconstruction residual network with a fused spatial-channel attention mechanism for automatically classifying diabetic foot ulcer [0.03%]
具有融合空间通道注意力机制的残差网络在糖尿病足溃疡自动分类中的应用
Jyun-Guo Wang,Yu-Ting Huang
Jyun-Guo Wang
Diabetic foot ulcer (DFU) is a common chronic complication of diabetes. This complication is characterized by the formation of ulcers that are difficult to heal on the skin of the foot. Ulcers can negatively affect patients' quality of life...
Investigation on performance of multiple AI-based auto-contouring systems in organs at risks (OARs) delineation [0.03%]
基于人工智能的自动勾画系统在危及器官(OARs)勾画中的性能研究
Young Woo Kim,Simon Biggs,Elizabeth Claridge Mackonis
Young Woo Kim
Manual contouring of organs at risk (OAR) is time-consuming and subject to inter-observer variability. AI-based auto-contouring is proposed as a solution to these problems if it can produce clinically acceptable results. This study investig...
Francisco Pastene,Martin Westermeyer,Maxime Verstraeten et al.
Francisco Pastene et al.
Inductive links represent a highly promising avenue for both powering and communicating medical implants. Yet they encounter challenges such as constrained communication distance and limited data rate. In Load Shift Keying (LSK), a switch i...
The accuracy of Eclipse AXB and AAA dose algorithms with dental amalgam [0.03%]
含银牙 amalgam 对 Eclipse AXB 和 AAA 剂量算法准确性的影响
Sam Potter,Carine Maxwell,James Rijken
Sam Potter
High-density materials used for dental restorations are poorly defined in CT imaging due to scanner limitations. Studies have established that Eclipse offers poor agreement with delivered dose in situations involving high-density material. ...
Optimization of penalization function in Bayesian penalized likelihood reconstruction algorithm for [18F]flutemetamol amyloid PET images [0.03%]
一种基于贝叶斯似然估计的惩罚函数优化方法在18F flutemetamol淀粉样PET图像重建中的应用研究
Shohei Fukuda,Kei Wagatsuma,Kenta Miwa et al.
Shohei Fukuda et al.
Point-spread-function (PSF) correction is not recommended for amyloid PET images due to Gibbs artifacts. Q.Clear™, a Bayesian Penalized Likelihood (BPL) reconstruction method without incorporating PSF correction reduces these artifacts but...
Development and performance evaluation of a novel scintillation-based active shielding gamma probe [0.03%]
一种新型闪烁型主动屏蔽伽马探针的研制与性能评估
O B Kolcu,T Yetkin,A T Zengin et al.
O B Kolcu et al.
The gamma probe is a commonly used detector for localizing sentinel lymph nodes after the injection of radiopharmaceuticals. In recent years, studies have focused on improving the features of gamma probes to achieve more consistent localiza...
DC-YOLOv5-based target detection algorithm for cervical vertebral maturation [0.03%]
基于DC-YOLOv5的颈椎成熟度目标检测算法
Man Jiang,Yun Hu,Jianxia Li et al.
Man Jiang et al.
The cervical vertebral maturation (CVM) method is essential to determine the timing of orthodontic and orthopedic treatment. In this paper, a target detection model called DC-YOLOv5 is proposed to achieve fully automated detection and stagi...
ACPSEM position paper: recommendations for a digital general X-ray quality assurance program [0.03%]
ACPSEM立场文件：数字化常规X射线质量保证计划的推荐意见
Timothy Ireland,Amanda Perdomo,Kam L Lee et al.
Timothy Ireland et al.
This guideline has been prepared by the ACPSEM to provide a standardised quality assurance program to be used within General X-ray imaging environments. The guideline includes the responsibilities of various multidisciplinary team members w...